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214 TOPS of edge vision compute in an M.2 card for under $260.
Pros
- Exceptional TOPS-per-dollar and per-watt for vision
- Compact M.2 form factor fits embedded systems
- Scales to high-density PCIe cards for multi-stream
Cons
- Younger ecosystem and smaller community than NVIDIA/Hailo
- Vision-centric; not aimed at generative AI
- Some SKUs have shown limited availability / pre-order status
✓ Where it shines / best for
- Multi-camera video analytics and smart retail
- Industrial machine vision and inspection
- Edge servers needing dense, efficient inference
✕ Not the best fit for
- On-device LLMs and generative workloads
- Standalone use without a host system
- Buyers wanting the largest software ecosystem
Features
- ✓ Quad-core Metis AIPU with digital in-memory computing
- ✓ Up to 214 INT8 TOPS peak performance
- ✓ 1GB on-card DRAM (Max variant up to 16GB)
- ✓ PCIe Gen3 x4 interface in M.2 form factor
- ✓ 3.5-9W power consumption
- ✓ Voyager SDK with model compiler and runtime
- ✓ Multi-stream camera/video analytics support
- ✓ PCIe card variants up to 856 TOPS (quad-AIPU)
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Metis M.2 Card (1GB, 214 TOPS) | €229.95 | one-time | From Axelera store (~$250-260 USD equivalent); custom expanded-memory configs via sales |
| Metis PCIe Card (single AIPU, 214 TOPS) | €349.95 | one-time | Highest-performance single-AIPU PCIe card on Axelera store (~$380 USD); quad-AIPU PCIe variant reaches 856 TOPS |
Pricing verified from the official source. Prices change often — confirm on the vendor's site before buying.
Specifications
| power | 3.5-9W |
| memory | 1GB DRAM (Max up to 16GB) |
| interface | PCIe Gen3 x4 (M.2) |
| architecture | Quad-core Metis AIPU (digital in-memory compute) |
| ai_performance | 214 INT8 TOPS (M.2); up to 856 TOPS (quad PCIe) |
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A full review is being generated for this product and will appear here shortly.